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A Distribution based Approach of Outlier Removal for Software Effort Data

by Amit Sinhal, Bhupendra Verma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 20
Year of Publication: 2013
Authors: Amit Sinhal, Bhupendra Verma
10.5120/13027-0210

Amit Sinhal, Bhupendra Verma . A Distribution based Approach of Outlier Removal for Software Effort Data. International Journal of Computer Applications. 74, 20 ( July 2013), 24-28. DOI=10.5120/13027-0210

@article{ 10.5120/13027-0210,
author = { Amit Sinhal, Bhupendra Verma },
title = { A Distribution based Approach of Outlier Removal for Software Effort Data },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 20 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number20/13027-0210/ },
doi = { 10.5120/13027-0210 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:50.451151+05:30
%A Amit Sinhal
%A Bhupendra Verma
%T A Distribution based Approach of Outlier Removal for Software Effort Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 20
%P 24-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are unavoidably a few outliers in the software measurement data. When software effort estimation models are made using the data samples with outliers, these models reduce the effort estimation precision for future planning. Therefore, this work investigated the influence of outlier upon the accuracy of prediction and proposed a distribution based outlier elimination method for effort estimation. The proposed work shows that the applied outlier elimination method improves the estimation accuracy of the software effort estimation process. In contrast, the effects of outlier elimination on the accuracy of effort estimation may differ depending on the characteristics of the data set, the effort estimation method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

COCOMO EAF MRE MMRE PRED

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